BIOMAGNETIC CHARACTERIZATION OF GASTRIC DYSRHYTHMIAS

描述(逐字摘自申请者摘要)：在正常科目中， 胃电活动(GEA)由每分钟3周的慢波组成 称为电气控制活动(ECA)。而皮肤电极 放置在腹部表面可记录GEA，测定频率 是唯一可靠的体表胃电参数 (鸡蛋)。磁天文(MGG)，测量磁场从 GEA，可能比胃磁场有更大的临床价值 比起鸡蛋，更能准确地反映出平滑肌肉的ECA。低电导率 腹部的组织层起到平滑和减弱电信号的作用。 来自GEA来源的潜力，导致一个皮肤卵子是一个空间 多种不同生物电源的总和。这个项目的目的是 无创性胃电活动正常与异常的特征 检查外部记录的MGG。我们假设GEA生产 规律性|表征健康状况的时空磁场模式 胃平滑肌的状态。而健康的胃平滑肌是 电耦合并允许GEA从胃窦起搏器部位传播 对于幽门，我们假设解开胃平滑的紊乱 肌肉打乱了正常的GEA传播模式。我们假设 多通道MGG记录中的时空模式将强烈相关 以及它们在异常情况下会发生变化， 反映了潜在的GEA。我们将测量正常的浆膜电位和 并将这些数据与(1)机械分割的数据进行比较 胃，(2)GEA从自主迷走神经的影响中释放，(3) 药物引起的胃电节律紊乱，以及(4)糖尿病患者 胃瘫。如果成功，我们的研究将是第一次 胃功能异常的生物磁学特征。在……里面 除了提高我们对胃病基础科学的理解外 电生理学，这些研究将大大推进我们的目标 介绍这种方法作为常规的临床工具，为医生提供 胃功能的非侵入性评估。

DESCRIPTION (Verbatim from Applicant's Abstract): In normal subjects, the gastric electrical activity (GEA) consists of a 3 cycle-per-minute slow wave known as the , electrical control activity (ECA). While cutaneous electrodes placed on the surface of the abdomen can record GEA, determination of frequency is the only reliable parameter available from the cutaneous electrogastrogram (EGG). The magnetogastrogram (MGG), the measurement of magnetic fields from GEA, may have greater clinical value than the EGG since gastric magnetic fields reflect the smooth muscle ECA more accurately than the EGG. Low-conductivity tissue layers present in the abdomen serve to smooth and attenuate the electric potential from GEA sources, resulting in a cutaneous EGG that is a spatial summation of many different bioelectric sources. The purpose of this project is to characterize normal and abnormal gastric electrical activity by noninvasive examination of the externally-recorded MGG. We hypothesize that GEA produces regular| spatiotemporal magnetic field patterns that characterize the health status of gastric smooth muscle. Whereas healthy gastric smooth muscle is electrically coupled and allows GEA to propagate from the antral pacemaker site toward the pylorus, we hypothesize that disorders that uncouple gastric smooth muscle disrupt the regular GEA propagation patterns. We hypothesize that spatiotemporal patterns in multi-channel MGG recordings will correlate strongly with the underlying GEA and that they will change under abnormal conditions, reflecting the underlying GEA. We will measure normal serosal potentials and magnetic fields and compare these with data from (1) the mechanically divided stomach, (2) GEA released from autonomic vagal influence, (3) pharmacologically-induced gastric dysrhythmias, and (4) patients with diabetic gastroparesis. If successful, our studies will represent the first characterization of biomagnetic signatures of abnormal gastric function. In addition to improving our understanding of the basic science of gastric electrophysiology, these studies will significantly advance our goal to introduce this method as a routine clinical tool, providing physicians with a noninvasive assessment of the function of the stomach.